Remote Senior AI-Driven Technology Solutions Analyst

Pearson; Richmond (VA); À distance; USD 110 000 - 120 000; Plein temps

Résumé du poste

Pearson is seeking a Technology Solutions Advanced Specialist to lead cross-system analysis and shape solution direction across product, engineering, data, security, and operations. You will mentor peers and drive reusable, maintainable, and scalable analytics practices.

You will translate strategic business objectives into actionable capabilities, manage dependencies, and support release readiness, while advocating for AI-enabled process improvements across Pearson VUE workflows.

Qualifications

• 5–8+ years of business analysis or technology delivery experience.
• Experience leading cross-functional initiatives in Agile/hybrid environments.
• Experience with systems integration, APIs, data flows and platform modernization.
• IIBA or Agile certification preferred but not required.

Responsabilités

• Lead end-to-end analysis for complex initiatives across Pearson systems and teams.
• Use AI-assisted analysis to synthesize requirements and align stakeholders.
• Facilitate discovery workshops and requirement reviews.
• Translate strategic objectives into capabilities, data requirements, and delivery-ready backlog artifacts.
• Mentor peers and improve analysis practices across teams.
• Support release readiness and coordination with QA/business partners.

Connaissances

Advanced requirements leadership

Systems thinking

Ambiguity resolution

Executive communication

Data analysis & reporting

Mentoring

Agile / SDLC

AI fluency

Formation

Bachelor’s degree in Business / IT / CS

Outils

APIs

Data pipelines

Analytics tools

Description du poste

Pearson is seeking a Technology Solutions Advanced Specialist to lead cross-system analysis and shape solution direction across product, engineering, data, security, and operations. You will mentor peers and drive reusable, maintainable, and scalable analytics practices.

You will translate strategic business objectives into actionable capabilities, manage dependencies, and support release readiness, while advocating for AI-enabled process improvements across Pearson VUE workflows.